What You Don't Know Does Hurt You:
Five Critical Risk Factors in Data Warehouse Quality
Data
warehouses are becoming increasingly large, increasingly complex and
increasingly important to the businesses that implement them. They are becoming
increasingly large and complex because they are drawing more data from a greater
number of more diverse sources across the enterprise to create larger, richer
assemblages of both alphanumeric and financial information. They are becoming
increasingly important to the business because they are being leveraged by a
wider range of users to support a greater number of decisions that impact the
bottom line every day.
That's why it's essential for businesses to rigorously ensure the quality of the
data in their data warehouses. If they don't ensure this data quality, users
will make faulty decisions based on incorrect data. Over time, their confidence
in the data will erode to the point where they won't use the business
intelligence tools and other applications that rely on the data warehouse
which means huge investments in IT will be wasted. Just as important, any
business using financial data in its data warehouse must be able to withstand
the scrutiny of auditors and regulators.
In other words, without effective data quality management measures in place to
support their data warehouses, businesses will remain highly vulnerable to
operational, financial, and regulatory risks.
Unfortunately, few companies have adequate safeguards in place for their data
warehouses today. They may have conventional tools in place for validating
certain types of data (such as customer names and addresses) once they're in the
data warehouse, but they lack the controls necessary to prevent bad data from
getting there in the first place, to properly validate financial data, to
discover and remediate the root-causes of chronic data quality problems, or to
document data quality management measures to third parties such as auditors
and regulators.
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What You Don't Know Does Hurt
You: Five Critical Risk Factors in Data Warehouse Quality now.
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